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» A Probability Model for Combining Ranks
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WWW
2010
ACM
15 years 6 months ago
Tracking the random surfer: empirically measured teleportation parameters in PageRank
PageRank computes the importance of each node in a directed graph under a random surfer model governed by a teleportation parameter. Commonly denoted alpha, this parameter models ...
David F. Gleich, Paul G. Constantine, Abraham D. F...
WIDM
2005
ACM
15 years 5 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...
ICMCS
2007
IEEE
150views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Highlight Ranking for Racquet Sports Video in User Attention Subspaces Based on Relevance Feedback
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking f...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...
CORR
2011
Springer
173views Education» more  CORR 2011»
14 years 6 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker
ICML
2009
IEEE
15 years 6 months ago
Decision tree and instance-based learning for label ranking
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier